Find research datasets worth reusing

openCC0Dec 2023View details →

Gridded 1-hectare estimates of shrub community structure at the Jornada Basin LTER site derived from NAIP (2011) and LiDAR (2019) data

This dataset contains four raster maps of shrub community structure at the Jornada Basin LTER site in southern New Mexico U.S.A. These shrub structure estimates were created by combining an existing categorical shrub map (Ji et al. 2019) with USGS LiDAR shrub height estimates from 2019. The resulting raster dataset includes four bands of spatially aligned shrub volume, cover, height, and density estimates at one hectare resolution. Data are also included in tabular format, extracted from the 1 hectare grid upon which estimates were created. These shrub structure estimates are intended to facilitate analyses of habitat structure and community dynamics within the northern Chihuahuan Desert.

Frog grid data (Bisley Experimental Watershed)

Population estimates from 1987 to 1995 are reported for the terrestrial anuran, Eleutherodactylus coqui, from four long-term study plots in the Luquillo Experimental Forest of northeastern Puerto Rico. The major factor influencing population size during this time was Hurricane Hugo, which deposited much of the canopy onto the forest floor in 1989. Population densities since Hurricane Hugo have been influenced by succession, with continued high densities associated with thickets of Cecropia and Heliconia. Trefalls, which are similar to hurricanes on a local scale, also were shown to influence population sizes. Years with prolonged dry periods reduced numbers of juvenile frogs, but rainfall patterns alone did not explain most population variation. Population levels of invertebrate predators were related to variation in frog numbers. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

Bisley 40 X 40 grid vegetation and site characteristics

Relationships between landforms, soil nutrients, forest structure, and the relative importance of different disturbances were quantified in two subtropical wet steepland watersheds in Pueno Rico. Ridges had fewer landslides and treefall gaps, more above-ground biomass, older aged stands, and greater species richness than other landscape positions. Ridge soils had relatively low quantities of exchangeable bases but high soil organic matter, acidity and exchangeable iron. Valley sites had higher frequencies of disturbance, less biomass, younger aged stands, lower species richness and soils with more exchangeable bases. Soil N, P, and K were distributed relatively independently of geomorphic setting, but were significantly related to the composition and age of vegetation. On a watershed basis, hurricanes were the dominant natural disturbance in the turnover of individuals, biomass, and forest canopy. However. turnover by the mortality of individuals that die without creating canopy openings was faster than the turnover by any natural disturbance. Only in riparian areas was forest turnover by treefall gaps faster than turnover by hurricanes. The same downslope mass transfer that links soil forming processes across the landscape also influences the distribution of landslides, treefall gaps, and the structure and composition of the forest. One consequence of these interactions is that the greatest aboveground biomass occurs on ridges where the soil nutrient pools are the smallest. Geomorphic stability, edaphic conditions, and biotic adaptations apparently override the importance of spatial variations in soil nutrients in the accumulation of above-ground biomass at this site. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. A

Regeneration after Hurricane Hugo, woody species > 10 cm tall (9Ha grid, El Verde) (9Ha Plots Small Data Set)

The purpose of this data set is to document vegetation damage and recovery following Hurricane Hugo, a borderline category 3-4 hurricane with winds from 130 to 160mph (110kts) and a pressure of 945 to 946.1 mb, which hit Puerto Rico in September 18th, 1989 Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

Regeneration after Hurricane Hugo woody species more than 1m tall (9ha grid, El Verde) (Large 9Ha Grid)

The purpose of this data set is to document vegetation damage and recovery following Hurricane Hugo, a borderline category 3-4 hurricane with winds from 130 to 160mph (110kts) and a pressure of 945 to 946.1 mb, which hit Puerto Rico in September 18th, 1989. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

Regeneration after Hurricane Hugo woody species greater than 1cm tall (9ha grid, El Verde)(Wood fall from Hurricane Hugo 9Ha Grid)

The purpose of this data set is to document vegetation damage and recovery following Hurricane Hugo, a borderline category 3-4 hurricane with winds from 130 to 160mph (110kts) and a pressure of 945 to 946.1 mb, which hit Puerto Rico in September 18th, 1989. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

Regeneration after Hurricane Hugo woody species > 1m tall and below 3m: percent cover (9 ha grid, El Verde)

Purpose was to document vegetation damage and recovery following Hurricane Hugo. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

Bisley Grid Habitat data 1994, 1999

The data set consists of one file containing data from the summers of 1994 and 1999. Various habitat characteristics are presented, as well as the apparency of common plant taxa at 7 heights (every 0.5 m from ground level to 3 m). However, the data for some plant species were not divided by height in 1994; only total apparency of those species is available for that year. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

Bisley Grid Invertebrate Data, 1989-1999

The data set consists of counts of terrestrial invertebrates from the grid at Bisley Watersheds #1 and 2, for the years 1989, 1990, 1994, and 1999. Data for 1989 and 1990 are confined to 4 species of terrestrial snails: Caracolus caracolla, Gaeotis nigrolineata, Nenia tridens, and Polydontes acutangula. Counts for other snail species and the walking stick Lamponius portoricensis are available for 1994 and 1999. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.

Elevation at grid points on the Luquillo Forest Dynamics Plot (LFDP)

This file contains data that describe the physical and environmental attributes of the LFDP. The attributes include elevation, topography type, and percentage slope. All data are given for the 20 m by 20 m quadrat scale. Information on soils are taken form an interpolation of the soil map produced by the Natural Resources Conservation Service, US Department of Agriculture (Soil Survey 1995). Other information from the elevation of each of the corner posts defining the quadrats. The National Science Foundation requires that data from projects it funds are posted on the web two years after any data set has been organized and "cleaned". The data from each census of the LFDP will be updated at intervals as each survey of the LFDP shows errors in the previous data collection. After posting on the web, researchers who are not part of the project are then welcome to use the data. Given the enormous amount of time, effort and resources required to manage the LFDP, obtain these data, and ensure data accuracy, LFDP Principal Investigators request that researchers intending to use this data comply with the requests below. Through complying with these requests we can ensure that the data are interpreted correctly, analyses are not repeated unnecessarily, beneficial collaboration between users is promoted and the Principle Investigators investment in this project is protected. Submit to the LFDP PIs a short (1 page) description of how you intend to use the data; Ã‚Â· Invite LFDP PIs to be co-authors on any publication that uses the data in a substantial way (some PIs may decline and other LFDP scientists may need to be included); If the LFDP PIs are not co-authors, send the PIs a draft of any paper using LFDP data, so that the PIs may comment upon it; In the methods section of any publication using LFDP data, describe that data as coming from the "Luquillo Forest Dynamics Plot, part of the Luquillo Experimental Forest Long-Term Ecological Research Program"; Acknowledge in any pu

openCC (other)Jan 2020View details →

0.5-meter elevation lattice grid, Saddle grid, Niwot Ridge LTER, Colorado

This is a 0.5m lattice/DEM derived using the TOPOGRID command. 1:500 scale. This dataset is part of the Saddle grid geographic information system (GIS). Additional information concerning the Niwot Ridge LTER hierarchical GIS can be found in Walker et al. (1993).

openCC (other)Jan 2020View details →

2-meter elevation contours, Saddle grid, Niwot Ridge LTER, Colorado

Coverage of 2-meter contours at Saddle grid. 1:500 scale. This dataset is part of the Saddle grid geographic information system (GIS). Additional information concerning the Niwot Ridge LTER hierarchical GIS can be found in Walker et al. (1993).

openCC0Aug 2021View details →

Core Site Grid Quadrat Data for the Net Primary Production Study at the Sevilleta National Wildlife Refuge, New Mexico

Begun in spring 2013, this project is part of a long-term study at the Sevilleta LTER measuring net primary production (NPP) across three distinct ecosystems: creosote-dominant shrubland (Site C), black grama-dominant grassland (Site G), and blue grama-dominant grassland (Site B). Net primary production is a fundamental ecological variable that quantifies rates of carbon consumption and fixation. Estimates of NPP are important in understanding energy flow at a community level as well as spatial and temporal responses to a range of ecological processes. Above-ground net primary production is the change in plant biomass, represented by stems, flowers, fruit and foliage, over time and incorporates growth as well as loss to death and decomposition. To measure this change the vegetation variables in this dataset, including species composition and the cover and height of individuals, are sampled twice yearly (spring and fall) at permanent 1m x 1m plots within each site. A third sampling at Site C is performed in the winter. The data from these plots is used to build regressions correlating biomass and volume via weights of select harvested species obtained in SEV999, "Net Primary Productivity (NPP) Weight Data." This biomass data is included in SEV999, "Seasonal Biomass and Seasonal and Annual NPP for Core Grid Research Sites."

opencc-by-4.0Dec 2019View details →

PanTaGruEl - a pan-European transmission grid and electricity generation model

If you have any questions or comments, please write to <a href="mailto:laurent.vincent.pagnier@gmail.com">laurent.vincent.pagnier@gmail.com</a>. When publishing results based on this data set, please cite: L. Pagnier, P. Jacquod, “Inertia location and slow network modes determine disturbance propagation in large-scale power grids”, PLOS ONE 14(3): e0213550, 2019. <a href="https://doi.org/10.1371/journal.pone.0213550">PLOS ONE 14(3): e0213550</a>, 2019. and M. Tyloo, L. Pagnier, P. Jacquod, “The Key Player Problem in Complex Oscillator Networks and Electric Power Grids: Resistance Centralities Identify Local Vulnerabilities”, <a href="https://doi.org/10.1126/sciadv.aaw8359">Science Advances 5(11): eaaw8359</a>, 2019. Description: PanTaGruEl is a dynamical grid model designed to investigate the propagation of disturbances in the continental European transmission grid. The construction of the model is detailed <a href="https://doi.org/10.1371/journal.pone.0213550.s002">here</a>. Features: <ul> <li>Precise distribution of national demands to network buses.</li> <li>Realistic electrical parameters of transmission lines.</li> <li>Merit-Order based economic dispatch of generators.</li> <li>Dynamical parameters of generators and loads for transient stability investigations.</li> </ul> Files: Data files: Our model is provided in an extended Matpower format and as csv raw data. For more information on Matpower format, see Appendix B of its <a href="https://matpower.org/docs/MATPOWER-manual.pdf">manual</a>. Script files: opf_ex.m performs optimal power flow computations for two load configurations. spectral_ex.m presents a basic spectral analysis. dynamics_ex.m give a minimal example of dynamical simulations. Requirements: Our model has been developed for use with <a href="https://matpower.org/">Matpower</a>. If you are interested in a port to another language, please <a href="mailto:laurent.vincent.pagnier@gmail.com?subject=Info%20on%20PanTaGruEl">contact us</a>. Acknowledgement: The authors thank M. Tyloo and K. Van Walstijn for their useful comments and remarks on the model. Sources: B. Wiegmans, <a href="https://doi.org/10.5281/zenodo.55853">“GridKit extract of ENTSO-E interactive map”</a> Global Energy Observatory, <a href="http://globalenergyobservatory.org">“GEO Power plants database”</a> Siemens, <a href="http://siemens.com/power-engineering-guide">“Power Engineering Guide”</a>

opencc-by-sa-4.0May 2020View details →

Hourly non-gridded volcanic ash properties retrieved from SEVIRI measurements for the Eyjafjallajökull 2010 eruption

- Publishing date:   14.05.2020 - Title:   Hourly non-gridded volcanic ash properties retrieved from SEVIRI   measurements for the Eyjafjallajökull 2010 eruption   - Authors of data set:   Arve Kylling (aky@nilu.no), NILU - Norwegian Institute for Air Research   Espen Sollum, NILU - Norwegian Institute for Air Research - Description:   Ash satellite detection and retrievals were made using infrared   measurements by SEVIRI on board the MSG-2 satellite. MSG-2 is   geostationary, centred at approximately 0N latitude, and has a 70   degree view coverage (Schmetz et al., 2002). Pixel resolution is 3 ×   3 km at nadir, while at the edge of the coverage it increases to 10   × 10 km. Observations are available every 15 min. Pixels are   identified as containing ash if the brightness temperature   difference (BTD) between the SEVIRI 10.8 and 12.0 μm channels   (Prata, 1989) is below a certain threshold value, here −0.5 K. The   BTDs have been adjusted for water vapour absorption using the approach of   Yu et al. (2002). Ash clouds give negative BTDs, ice give positive   BTDs, and BTDs of water clouds are closer to zero. The ash mass   loading and effective ash particle radius are retrieved as described   in Kylling et al. (2015). The retrieval is based on a modification   of the Bayesian optimal estimation technique used by Francis et   al. (2012). We assume andesite ash with refractive index from Pollack   et al. (1973), spherical ash particles, and a lognormal size   distribution. The lognormal size distribution is described by the   geometric mean radius and the geometric standard deviation. The data   set includes retrievals for geometric standard deviation of 1.5,   1.75, 2.0, and 2.25, which is a subset of the values used by Francis   et al. (2012). The data set has been used by Steensen et al. (2017).   Data comes as hourly files broadly covering Iceland, Europe and the   surrounding oceans. The files are in bzip2 netcdf-format which   should be self-explanatory.   - Version:   1.0 - Language:   English - Keywords   Volcanic ash, remote sensing, SEVIRI, Eyjafjallajökull 2010 - Additional notes   None - Access right:   Open access - License:   CC BY-SA 4.0   - Funding:   Partly funded by the Norwegian ash project financed by the Norwegian   Ministry of Transport and Communications and Avinor.  - References:   Francis, P. N., Cooke, M. C., and Saunders, R.W.: Retrieval of   physical properties of volcanic ash using Meteosat: A case study   from the 2010 Eyjafjallajokull eruption, J. Geophys. Res. Atmos.,   117, D00U09, https://doi.org/10.1029/2011JD016788, 2012.   Kylling, A., Kristiansen, N., Stohl, A., Buras-Schnell, R., Emde,   C., and Gasteiger, J.: A model sensitivity study of the impact of   clouds on satellite detection and retrieval of volcanic ash, Atmos.    Meas. Tech., 8, 1935-1949, https://doi.org/10.5194/amt-8-1935-   2015, 2015.      Pollack, J. B., Toon, O. B., and Khare, B. N.: Optical properties of   some terrestrial rocks and glasses, Icarus, 19, 372-389,   https://doi.org/10.1016/0019-1035(73)90115-2, 1973.    Prata, A. J.: Observations of volcanic ash clouds in the 10-12 um   window using AVHRR/2 data, Int. J. Remote Sens., 10, 751-761,   1989.   Schmetz, J., Pili, P., Tjemkes, S., and Just, D.: An introduction to   Meteosat second generation (MSG), B. Am. Meteorol. Soc., 83,   977-992, 2002.      Steensen, B. M., Kylling, A., Kristiansen, N. I., and Schulz, M.:   Uncertainty assessment and applicability of an inversion method for   volcanic ash forecasting, Atmos. Chem. Phys., 17, 9205-9222,   https://doi.org/10.5194/acp-17-9205-2017, 2017.    Yu, T., Rose, W. I., and Prata, A. J.: Atmospheric correction for   satellite-based volcanic ash mapping and retrievals using "split   window" IR data from GOES and AVHRR, J. Geophys. Res. Atmos., 107,   https://doi.org/10.1029/2001JD000706, 2002.

opencc-by-4.0Jun 2020View details →

GEM-Hydro gridded simulations for the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E)

This dataset provides gridded model simulations in NetCDF format over the Lake Erie using the GEM-Hydro model done within the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E). The data are produced with SPS (GEM-Surf + SVS, the surface component of GEM-Hydro) open-loop runs with the SVS calibrated parameters obtained during GRIP-E project. For more information on the model and on calibration methodology, see GEM-Hydro section in Mai et al. 2020 (in prep.). The original model outputs had all variables accumulated for each day. During post-processing all variables have been de-accumulated by subtracting the accumulation of the previous hour from the accumulation of the current hour. Two variables (ALAT and O1) are also only valid over the land tile of each grid cell. Two additional variables (ALAT_full and O1_full) valid now over the whole grid cell have been added for convenience of the users. Domain boundaries (WGS84 system):  - lon_min = -85.5, lon_max = -77.94 - lat_min = 40.3, lat_max = 44.26 Resolution of model variables provided: - spatial: ~10km x 10km  - temporal: hourly  Simulation period: - 01 Jan 2011 - 31 Dec 2014  - 01 Jan 2010 - 31 Dec 2010 (warm-up) Meteorological input data: - RDRS-v1; see Mai et al. 2020 (in prep) Variables available: float PR_0(time, rlat, rlon) ;                   PR_0:units = "m" ;                   PR_0:long_name = "Quantity of precipitation (valid over whole grid cell)" ; float AHFL_0(time, rlat, rlon) ;                   AHFL_0:units = "mm" ;                   AHFL_0:long_name = "Surface evaporation (valid over whole grid cell)" ; float TRAF_60268832(time, rlat, rlon) ;                   TRAF_60268832:units = "mm" ;                   TRAF_60268832:long_name = "Surface runoff (valid over whole grid cell)" ; float ALAT_0(time, rlat, rlon) ;                   ALAT_0:units = "mm" ;                   ALAT_0:long_name = "Accumulation of total soil lateral flow (valid over land tile of grid cell)" ; float ALAT_0_full(time, rlat, rlon) ;                   ALAT_0_full:units = "mm" ;                   ALAT_0_full:long_name = "Accumulation of total soil lateral flow (valid over whole grid cell)" ; float O1_0(time, rlat, rlon) ;                   O1_0:units = "mm" ;                   O1_0:long_name = "Accumulation of base drainage (valid over land tile of grid cell)" ; float O1_0_full(time, rlat, rlon) ;                   O1_0_full:units = "mm" ;                   O1_0_full:long_name = "Accumulation of base drainage (valid over whole grid cell)" ; float WT_59868832(time, rlat, rlon) ;                   WT_59868832:units = "1" ;                   WT_59868832:long_name = "Fraction of grid cell covered with land" ; =============================================================== These data and model runs have been performed under the Great Lakes Runoff Inter-comparison Project for Lake Erie (GRIP-E) led by Juliane Mai and Bryan Tolson (both University of Waterloo) and funded under the Integrated Modelling Program for Canada (IMPC) within the Global Water Futures program.

opencc-by-4.0Jul 2020View details →

Time series of electricity output for large grid connected photovoltaic installations in Chile

These data sets accompany the paper "Simulation of multi-annual time series of solar photovoltaic power: is the ERA5-land reanalysis the next big step?". They include capacity factors (values 0 to 1) in hourly temporal resolution of 103 large PV installations in Chile derived from official sources as well as simulated capacity factors using PV_LIB with ERA5-land and MERRA-2 reanalysis data. The data covers the period 2014-2018 and simulations were performed assuming either a "fixed" system with orientation towards north and inclination equal to the latitude (i.e. optimal inclination) or a horizontal single axis “tracking” system with backtracking. Furthermore, accuracy indicators (Pearson’s correlation, mean bias error and root mean square error) are provided, comparing the simulated time series with capacity factors derived from official sources. Capacity factors were calculated for the 103 installations and both alternative configurations (“fixed” and “tracking”) but only a subset of 23 installations has reference data of sufficient quality to allow for a validation (for a more detailed description, see the paper). Indicators were also calculated for all installations and configurations but should be only compared for installations inside a particular configuration: there are 14 systems classified as “tracking” and 9 as “fixed”. Further details are available in the paper and the entire Python and R code is available on github at <a href="https://github.com/inwe-boku/PV_from_era5">https://github.com/inwe-boku/PV_from_era5</a>.

opencc-by-4.0Oct 2020View details →

SLOCLIM: A high-resolution daily gridded precipitation and temperature dataset for Slovenia

SLOCLIM is a new high-resolution daily gridded precipitation and temperature dataset for Slovenia, covering the whole territory of Slovenia from 1950 to 2018. A grid of 1x1 km spatial resolution consists of 20,998 points for which daily maximum and minimum temperature and precipitation was calculated. The observed climatic information was provided by Slovenian Environment Agency (ARSO).

opencc-by-4.0Nov 2020View details →

About ERIGrid 2.0 - Connecting European Smart Grid Research Infrastructures

This video provides a brief overview of the activities and services of the <a href="https://ec.europa.eu/programmes/horizon2020/en">H2020</a> <a href="https://erigrid2.eu/">ERIGrid 2.0</a> research infrastructure project.